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Estimating TCP Congestion Control Algorithms from Passively Collected Packet Traces using Recurrent Neural Network.
Naoki Ohzeki
Ryo Yamamoto
Satoshi Ohzahata
Toshihiko Kato
Published in:
ICETE (1) (2019)
Keyphrases
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congestion control
recurrent neural networks
end to end
packet loss
neural network
window size
network congestion
transmission rate
complex valued
packet losses
computational complexity
learning algorithm
quality of service
convergence rate
congestion avoidance